derive-client

derive-client is a skill for Claude Code from vercel-labs/agent-browser. It costs 100 tokens per session (1,197 once invoked), scanned A, original, Apache-2.0.

A process for recording how a website communicates with its server, then creating a separate program that makes those requests directly. A HAR file is a saved record of browser network traffic.

In plain words
What is it for?
Capturing searches, detail pages, pagination, or other flows; identifying the underlying requests; generating a client or command-line tool; and checking that each operation works.
Why use it?
It avoids repeating browser steps for tasks that need to run often. After the initial recording, the generated client or command-line tool can work without a browser.

Skill for Claude Code ✓ vendor

Written for Claude Code: allowed-tools in frontmatter.

Good fit Capturing searches, detail pages, pagination, or other flows; identifying the underlying requests; generating a client or command-line tool; and checking that each operation works.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/vercel-labs/agent-browser/derive-client
About the project

agent-browser is a command-line tool that lets AI agents control web browsers for tasks such as clicking, navigation, and screenshots. Developers use it to automate browser interactions from agent workflows.

vercel-labs/agent-browser · 44,102 stars · on GitHub · agent-browser.dev

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add vercel-labs/agent-browser --skill derive-client
Clone the repo
git clone --depth 1 https://github.com/vercel-labs/agent-browser

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for derive-client

README.md
[![agentmods](https://agentmods.dev/badge/skills/vercel-labs/agent-browser/derive-client/github.svg)](https://agentmods.dev/skills/vercel-labs/agent-browser/derive-client)
Your own site
<a href="https://agentmods.dev/skills/vercel-labs/agent-browser/derive-client"><img src="https://agentmods.dev/badge/skills/vercel-labs/agent-browser/derive-client/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for derive-client

Your own site · 80×15
<a href="https://agentmods.dev/skills/vercel-labs/agent-browser/derive-client"><img src="https://agentmods.dev/badge/skills/vercel-labs/agent-browser/derive-client.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 100 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,197 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Snyk warn 7 Sept 2026
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium MCP Rug Pull · line 4
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00100 $0.01197
Opus 5.5 $0.00040 $0.00479
Sonnet 5.5 $0.00020 $0.00239
Haiku 4.5 $0.00010 $0.00120

Measured 1mo ago against content hash ca31e7fd950c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

derive-client scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

2 near-identical copies found in the catalogue:

skill-data/derive-client/SKILL.md · 87 lines

How it starts

The opening of the file, as written. The whole thing — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Derive an API client from a recorded session

Driving a browser is the right tool for the first visit and the wrong tool for the hundredth. This skill records a site's network traffic once while you use it, then turns the captured requests into a standalone client (script, CLI, or library) that talks to the site's internal API directly.

The recording alone contains everything needed: agent-browser embeds text response bodies (JSON/HTML/JS) in the HAR by default, so endpoint shapes can be studied offline after the browser is closed.

Workflow

1. Record     Start HAR capture, drive the flows you want in the client
2. Identify   Find the real API endpoints among the noise
3. Extract    Pull request shapes, response schemas, and auth material
4. Generate   Write the client, one function per flow
5. Verify     Call every endpoint for real before declaring done

1. Record

agent-browser network har start          # embeds text response bodies by default
# ... drive the site: search, open a detail page, paginate, etc. ...
agent-browser network har stop /tmp/site.har
  • Exercise every flow the client should support, and run each one at least twice with different inputs (two search terms, two detail pages). Diffing the recorded URLs reveals which parts are parameters.
  • If the site needs login, log in before starting the HAR so credentials don't land in the recording unnecessarily. The session cookies are exported separately in step 3.
  • --content all embeds binary bodies too (base64); --content none disables embedding. Per-body cap is 2 MB.

While the session is still open, agent-browser network requests and network request <id> give the same data interactively — but only the HAR survives navigation and browser close, so prefer it for anything multi-page.

2. Identify endpoints

Query the HAR with jq:

# All JSON API calls: method, URL, status
jq -r '.log.entries[]
  | select(.response.content.mimeType | test("json"))
  | "\(.request.method) \(.response.status) \(.request.url)"' /tmp/site.har

Read the full file on GitHub · 87 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 87 lines · 100 tokens per session scan A ca31e7fd950c

Subscribe to this mod's changes

derive-client is a skill published in the GitHub repository vercel-labs/agent-browser (44,102 stars, last pushed today), licensed Apache-2.0. It adds 100 tokens to every session and 1,197 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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